SHARP SH-M31
Geekbench AI Score
407
Single Precision Score
407
Half Precision Score
26682
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 15 2026 10:55 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | SHARP SH-M31 |
| Model ID | SHARP SH-M31 |
| Motherboard | Lockon |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
255
47.4 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.2 IPS |
|
|
Image Classification (Q)
|
96% |
20413
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
20488
333.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
426
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
428
0.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
103636
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (Q)
|
86% |
13614
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
593
7.05 IPS |
|
|
Face Detection (HP)
|
100% |
596
7.08 IPS |
|
|
Face Detection (Q)
|
97% |
54863
654.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
516
3.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
522
4.02 IPS |
|
|
Depth Estimation (Q)
|
63% |
64138
604.1 IPS |
|
|
Style Transfer (SP)
|
100% |
867
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
863
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
180592
232.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
261
9.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
264
9.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
36230
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
378
504.6 IPS |
|
|
Text Classification (HP)
|
100% |
373
497.8 IPS |
|
|
Text Classification (Q)
|
93% |
7315
9.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (Q)
|
55% |
1841
48.2 IPS |
